Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Leads a 2-person team building ML models and GenAI agents for bank-card distribution logistics, optimizing delivery routes and customer interactions in a large Russian bank.
Lead a Data Science team building AI solutions for payroll products in a major bank, overseeing the full ML lifecycle from research to production deployment.
Lead a Data Science team to build and deploy AI solutions for Sberbank’s ATM network, managing the full product lifecycle from research to production and driving business impact.
Project manager to streamline LLM inference infrastructure, coordinate engineering teams, and turn chaotic processes into structured, automated systems.
Builds and maintains data marts for risk-management systems using SQL, ETL, and big-data tools like ClickHouse and Spark.
Build and optimize large-scale generative language models (LLMs) for GigaChat, focusing on Russian-language performance, distributed training, and efficiency improvements.
Build and deploy AI agents for process optimization in banking, focusing on NLP tasks like semantic search, classification, and LLM fine-tuning (SFT, RAG) using Python and frameworks like PyTorch and LangChain.
Senior data scientist leading a small team to build and improve an AI copilot for bank staff, focusing on LLM/NLP models for risk management and customer dialogue.
Data analyst building recommendation logic for Sber’s B2C ecosystem using SQL, Scala/Spark, and Hadoop to automate personalized offers for clients.
Data Analyst builds and tests ad-platform growth hypotheses, runs A/B tests, and delivers BI dashboards using ClickHouse, Redash/Superset, Spark, and Trino.
Builds and scales ML services, pipelines, and AI agents to extract insights from customer interactions across banking and ecosystem surfaces using Python, FastAPI, and ML/LLM stacks.
Build and deploy AI agents (LLM-based) to automate customer-support workflows using NLP tools like LangChain, RAG, and fine-tuning.
ML engineer builds and deploys GenAI solutions—chatbots, RAG pipelines, and AI agents—using Python, PyTorch, LangChain, and LangGraph.
Build and scale AI agents and LLM applications that plug into sales workflows, using Python, LangChain/LangGraph, and distributed systems to drive measurable business impact.
Build and maintain CI/CD pipelines and cloud infrastructure for an AI-model development platform in Sberbank’s ecosystem, using Kubernetes, Helm, and DevSecOps practices.
NLP engineer working on GigaChat Pro, a bank employee copilot assistant that interacts with clients. Daily tasks include developing LLM/BERT-based models, optimizing pipelines, and testing new AI-driven business solutions to enhance the assistant’s functionality and performance.
Build and optimize high-load Scala/Spark pipelines for NPL analytics, engineer clean features for ML teams, and integrate generative AI into data workflows.
Builds and improves marketing-mix models to optimize ad spend and strategy for Russia’s largest bank, using Python/R and ML tools.
Администрирует и настраивает EDR-системы на Windows, Linux и macOS, обновляет агенты, анализирует логи и решает инциденты безопасности.
Builds indexing and search engines for AI systems, focusing on vector, text, and hybrid search at scale.
We couldn't check your fit for this role — add a CV to your profile to see it next time.